Using norms instead of distances

Course Q&A Machine Learning Specialization Unsupervised Learning, Recommenders, Reinforcement
1

In the first lab of week 1 (Exercise 1), when we have to minimize the distances to find the best cluster centroid, according the formula we have to check the distances by ||x(i) - Uk || ** 2, to implement the same I used the following code

Allbeit there are some syntactical errors, ignoring them conceptually I can’t understand what’s wrong with this way, and the solution used something called norm from linear algebra, what is that and how is that related to the distance. Thanks you

2

The first thing I see that concerns me is that your “elem” is a scalar value, but you’re using .append to add it to a 2D “dist” matrix.

The append() method has no idea where you want (row and column) the ‘elem’ value stored.

Also, just a friendly reminder - please don’t post your code on the forums. That’s not allowed by the course Code of Conduct.

If a mentor needs to see your code, we’ll contact you with instructions.